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Evaluation of Sustainable Use of Water Resources in the Beijing-Tianjin-Hebei Region Based on S-Type Functions and Set Pair Analysis

机译:基于S型函数的京津 - 河北地区水资源可持续利用评价及集对分析

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摘要

Beijing-Tianjin-Hebei is an area with insufficient per capita water resources. This study evaluates the current status and development trend of sustainable use of water resources in the region, and identifies specific factors influencing sustainable development so as to provide a theoretical basis and data support for the management of water resources in the Beijing-Tianjin-Hebei region. Applying the compound system of social, economic and ecological environment, this study established an evaluation index system. The evaluation index data is obtained through the relevant calculations based on the National Economic and Social Development Announcement, the Water Resources Bulletin and the National Bureau of Statistics data. The index weights are calculated using a combination of rough set and fuzzy theory. The obtained weights were added to the set pair analysis method to acquire evaluation results. Based on the traditional set pair analysis method, this study proposes a new set pair analysis method (Method 4) using S-type functions (Formula (11)) instead of the addition weighted synthesis method (Formula (10)) in the calculation of weighted connections. In order to verify the feasibility of this method, the Spearman correlation coefficient method was used to calculate the correlation coefficient between evaluation results of Method 4 and evaluation results of other traditional methods. In addition, the set pair exponential potential is adopted to determine the impact indicators of the sustainable utilization of water resources in Beijing-Tianjin-Hebei in this study. The results show that in the Beijing-Tianjin-Hebei region, the overall level of sustainable use of water resources has been gradually raised in the past 12 years. The results of the set pair analysis method that cites S-type functions have obtained higher Spearman correlation coefficients than traditional methods. The values of the correlation coefficients are 0.9954, 0.9910, and 0.9928 respectively in Beijing, Tianjin and Hebei. Moreover, according to the results of set pair exponential potential, the indicators in the region are quasi-inverse potential or strong inverse potential, including per capita water resources and the ecological environment water use rate. Thus, a dense population with scarce water resources, and a lack of ecological water are the common problems that Beijing, Tianjin and Hebei have to face.
机译:北京天津 - 河北是人均水资源不足的地区。本研究评估了该地区水资源可持续利用现状和发展趋势,并确定了影响可持续发展的特定因素,为京津冀地区的水资源提供理论基础和数据支持。本研究申请了社会,经济和生态环境复合体系,建立了评估指标体系。通过基于国家经济和社会发展公告,水资源公报和国家统计数据局的相关计算获得评估指标数据。使用粗糙集和模糊理论的组合计算索引权重。将得到的重量加入到集合分析方法中以获取评估结果。基于传统的套件对分析方法,本研究提出了一种使用S型函数(公式(11))而不是加法加权合成方法(公式(10))的新的集合对分析方法(方法4)加权连接。为了验证该方法的可行性,使用Spearman相关系数方法来计算方法4评估结果与其他传统方法的评估结果之间的相关系数。此外,采用集合对指数潜力来确定本研究中北京 - 天津 - 河北水资源可持续利用的影响指标。结果表明,在北京 - 天津 - 河北地区,在过去12年中逐渐提出了水资源的整体水平。 Cites S型功能的集合分析方法的结果已经比传统方法获得了更高的Spearman相关系数。相关系数的值分别为北京,天津和河北分别为0.9954,0.9910和0.9928。此外,根据设定对指数电位的结果,该区域中的指标是准逆势或强的逆势,包括人均水资源和生态环境用水率。因此,具有稀缺水资源的浓密人群,缺乏生态水域是北京,天津和河北都必须面对的常见问题。

著录项

  • 作者

    Baohui Men; Huanlong Liu;

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  • 年度 2018
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  • 原文格式 PDF
  • 正文语种 eng
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